Init qrcode algo (#11829)

modules/objdetect/include/opencv2/objdetect.hpp

@@ -670,6 +670,14 @@ public:
     void groupRectangles(std::vector<cv::Rect>& rectList, std::vector<double>& weights, int groupThreshold, double eps) const;
 };
 
+/** @brief Detect QR code in image and return minimum area of quadrangle that describes QR code.
+    @param in  Matrix of the type CV_8UC1 containing an image where QR code are detected.
+    @param points Output vector of vertices of a quadrangle of minimal area that describes QR code.
+    @param eps_x Epsilon neighborhood, which allows you to determine the horizontal pattern of the scheme 1:1:3:1:1 according to QR code standard.
+    @param eps_y Epsilon neighborhood, which allows you to determine the vertical pattern of the scheme 1:1:3:1:1 according to QR code standard.
+    */
+CV_EXPORTS bool detectQRCode(InputArray in, std::vector<Point> &points, double eps_x = 0.2, double eps_y = 0.1);
+
 //! @} objdetect
 
 }

modules/objdetect/test/test_qrcode.cpp

+/*M///////////////////////////////////////////////////////////////////////////////////////
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+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
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+//                        Intel License Agreement
+//                For Open Source Computer Vision Library
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+// (including, but not limited to, procurement of substitute goods or services;
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+//M*/
+
+#include "test_precomp.hpp"
+
+namespace opencv_test { namespace {
+
+TEST(Objdetect_QRCode, regression)
+{
+    String root = cvtest::TS::ptr()->get_data_path() + "qrcode/";
+    // String cascades[] =
+    // {
+        // root + "haarcascade_frontalface_alt.xml",
+        // root + "lbpcascade_frontalface.xml",
+        // String()
+    // };
+
+    // vector<Rect> objects;
+    // RNG rng((uint64)-1);
+
+    // for( int i = 0; !cascades[i].empty(); i++ )
+    // {
+        // printf("%d. %s\n", i, cascades[i].c_str());
+        // CascadeClassifier cascade(cascades[i]);
+        // for( int j = 0; j < 100; j++ )
+        // {
+            // int width = rng.uniform(1, 100);
+            // int height = rng.uniform(1, 100);
+            // Mat img(height, width, CV_8U);
+            // randu(img, 0, 256);
+            // cascade.detectMultiScale(img, objects);
+        // }
+    // }
+}
+
+}} // namespace